Sulaiman Vesal
Sulaiman Vesal
AI Researcher @ Hanwha Vision America
Verificeret mail på stanford.edu - Startside
Citeret af
Citeret af
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging
Z Xiong, Q Xia, Z Hu, N Huang, C Bian, Y Zheng, S Vesal, N Ravikumar, ...
Medical image analysis 67, 101832, 2021
Classification of breast cancer histology images using transfer learning
S Vesal, N Ravikumar, AA Davari, S Ellmann, A Maier
Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
A Hering, L Hansen, TCW Mok, ACS Chung, H Siebert, S Häger, A Lange, ...
IEEE Transactions on Medical Imaging 42 (3), 697-712, 2022
SkinNet: A Deep Learning Framework for Skin Lesion Segmentation
S Vesal, N Ravikumar, A Maier
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference …, 2018
Cardiac segmentation on late gadolinium enhancement MRI: a benchmark study from multi-sequence cardiac MR segmentation challenge
X Zhuang, J Xu, X Luo, C Chen, C Ouyang, D Rueckert, VM Campello, ...
Medical Image Analysis 81, 102528, 2022
Dilated convolutions in neural networks for left atrial segmentation in 3D gadolinium enhanced-MRI
S Vesal, N Ravikumar, A Maier
Statistical Atlases and Computational Models of the Heart. Atrial …, 2019
A multi-task framework for skin lesion detection and segmentation
S Vesal, S Malakarjun Patil, N Ravikumar, AK Maier
International Workshop on Computer-Assisted and Robotic Endoscopy, 285-293, 2018
The effect of data augmentation on classification of atrial fibrillation in short single-lead ECG signals using deep neural networks
FN Hatamian, N Ravikumar, S Vesal, FP Kemeth, M Struck, A Maier
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT
S Vesal, N Ravikumar, A Maier
arXiv preprint arXiv:1905.07710, 2019
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation
S Vesal, M Gu, R Kosti, A Maier, N Ravikumar
IEEE Transactions on Medical Imaging, 1 - 1, 2021
An effective and fast hybrid framework for color image retrieval
E Walia, S Vesal, A Pal
Sensing and Imaging 15, 1-23, 2014
Fully Automated 3D Cardiac MRI Localisation and Segmentation Using Deep Neural Networks
S Vesal, N Ravikumar, A Maier
Journal of Imaging 6 (7), 65, 2020
A review of artificial intelligence in prostate cancer detection on imaging
I Bhattacharya, YS Khandwala, S Vesal, W Shao, Q Yang, ...
Therapeutic advances in urology 14, 17562872221128791, 2022
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation
S Vesal, N Ravikumar, A Maier
International Workshop on Statistical Atlases and Computational Models of …, 2020
Implementation of machine learning into clinical breast MRI: Potential for objective and accurate decision-making in suspicious breast masses
S Ellmann, E Wenkel, M Dietzel, C Bielowski, S Vesal, A Maier, ...
Plos one 15 (1), e0228446, 2020
Age Estimation on Panoramic Dental X-ray Images using Deep Learning
S Wallraff, S Vesal, C Syben, R Lutz, A Maier
Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on …, 2021
Deep learning-based denoising of mammographic images using physics-driven data augmentation
D Eckert, S Vesal, L Ritschl, S Kappler, A Maier
Bildverarbeitung für die Medizin 2020: Algorithmen–Systeme–Anwendungen …, 2020
Dilated deeply supervised networks for hippocampus segmentation in MRI
L Folle, S Vesal, N Ravikumar, A Maier
Bildverarbeitung für die Medizin 2019: Algorithmen–Systeme–Anwendungen …, 2019
Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study
S Vesal, I Gayo, I Bhattacharya, S Natarajan, LS Marks, DC Barratt, ...
Medical image analysis 82, 102620, 2022
COPD Classification in CT Images Using a 3D Convolutional Neural Network
J Ahmed, S Vesal, F Durlak, R Kaergel, N Ravikumar, M Rémy-Jardin, ...
Bildverarbeitung für die Medizin 2020, 2020
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Artikler 1–20